[BUG] TensorDict.expand() allocates no new memory making indexing along expanded dimensions point to the original object #390

	# Allow users to automatically tag themselves to issues
	#
	# Usage:
	# - a github user (a member of the repo) needs to comment
	# with "#self-assign" on an issue to be assigned to them.
	#------------------------------------------------------------

	name: Self-assign
	on:
	issue_comment:
	types: created

	concurrency:
	# Documentation suggests ${{ github.head_ref }}, but that's only available on pull_request/pull_request_target triggers, so using ${{ github.ref }}.
	# On master, we want all builds to complete even if merging happens faster to make it easier to discover at which point something broke.
	group: ${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && format('ci-master-{0}', github.sha) \|\| format('ci-{0}', github.ref) }}
	cancel-in-progress: true

	jobs:
	one:
	runs-on: ubuntu-latest
	if: >-
	(github.event.comment.body == '#take' \|\|
	github.event.comment.body == '#self-assign')
	steps:
	- run: \|
	echo "Assigning issue ${{ github.event.issue.number }} to ${{ github.event.comment.user.login }}"
	curl -H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
	-d '{"assignees": ["${{ github.event.comment.user.login }}"]}' \
	https://api.github.com/repos/${{ github.repository }}/issues/${{ github.event.issue.number }}/assignees
	echo "Done 🔥 "

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